Patient Health Questionnaire 9 PHQ-9 Scoring
Understand the scoring thresholds for depression screening and see how our AI medical scribe turns these results into structured clinical notes.
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Is this the right workflow for you?
Clinicians screening for depression
Best for providers who need to translate PHQ-9 scores into a formal clinical assessment.
Standardized scoring logic
Get a clear breakdown of how to calculate total scores and interpret severity levels.
Automated note drafting
Learn how Aduvera captures the encounter to draft a note containing the score and clinical context.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around patient health questionnaire 9 phq 9 scoring.
From PHQ-9 Score to EHR-Ready Note
Move beyond manual tallying with a review-first documentation process.
Transcript-Backed Scoring
Review the exact patient responses used to determine the PHQ-9 score via per-segment citations.
Structured Behavioral Health Notes
Drafts the score and severity (e.g., Moderate, Severe) directly into SOAP or H&P formats.
Direct EHR Transfer
Produces a finalized summary of the PHQ-9 results ready to copy and paste into your EHR.
Drafting Your PHQ-9 Assessment
Turn a screening conversation into a finalized clinical note.
Record the Encounter
Record the patient's responses to the nine PHQ-9 questions during the visit.
Review the AI Draft
Verify the generated score and severity level against the transcript source context.
Finalize and Export
Confirm the documentation accuracy and paste the structured note into the patient's chart.
Understanding PHQ-9 Scoring and Documentation
PHQ-9 scoring is based on a 0-3 scale for each of the nine items, where 0 represents 'not at all' and 3 represents 'nearly every day.' Total scores are categorized into severity levels: 1-4 is minimal, 5-9 is mild, 10-14 is moderate, and 15-19 is moderately severe, with 20-27 indicating severe depression. Critical documentation must also highlight item 9, which screens for suicidal ideation, regardless of the total numerical score.
Aduvera eliminates the need to manually transcribe these responses from a paper form into a narrative note. By recording the encounter, the AI medical scribe captures the patient's verbal responses and drafts them into a structured format. This allows the clinician to focus on the patient's emotional state while the software handles the initial drafting of the score and the corresponding severity level for final review.
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PHQ-9 Scoring FAQs
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
How is the total PHQ-9 score calculated?
The score is the sum of the values (0-3) assigned to each of the nine questions based on frequency of symptoms.
Can I use this PHQ-9 scoring logic to draft notes in Aduvera?
Yes, Aduvera records the encounter and can draft the resulting score and severity into your clinical note.
Does the AI scribe handle the PHQ-9 item 9 (suicidality) specifically?
The AI drafts the encounter's content; clinicians should use the transcript-backed citations to verify the specific response for item 9.
Is the PHQ-9 documentation secure in this app?
Yes, the app supports security-first clinical documentation workflows for all recorded encounters and generated clinical notes.
Reclaim your evenings from chart notes
Let Aduvera turn visit conversations into a cleaner first draft so you can review faster and finish documentation with less after-hours work.